公开(公告)号：US20170059744A1

公开(公告)日：2017-03-02

申请号：US14842083

申请日：2015-09-01

Applicant: Southern Company Services, Inc.

Inventor： Brandon Lundy ,  Derl W. Rhoades

IPC: G01W1/10 ,  G01R21/133 ,  G01D4/00

CPC classification number: G01W1/10 ,  G01D4/002 ,  G01R22/063 ,  Y02B90/241 ,  Y04S20/32 ,  Y04S20/36 ,  Y04S20/48

Abstract: Disclosed are various embodiments for confirming a tornado event has contacted the ground surface and generating a path prediction. Upon receipt of power outage alarms from metering devices, the Advance Metering Infrastructure (AMI) application can generate cluster areas based on the location of the metering devices. The AMI application can compare cluster area to a tornado pattern to determine if the cluster area has experienced a tornado. AMI application can determine a speed and a direction of the tornado event based on the location and a time stamp associated with the metering devices in the cluster areas.

Abstract translation: 公开了用于确认龙卷风事件已经接触地面并产生路径预测的各种实施例。 在从计量设备接收到断电报警时，高级计量基础设施（AMI）应用程序可以基于计量设备的位置生成群集区域。 AMI应用程序可以将集群区域与龙卷风模式进行比较，以确定集群区域是否经历了龙卷风。 AMI应用可以基于与集群区域中的计量设备相关联的位置和时间戳来确定龙卷风事件的速度和方向。

公开(公告)号：US20180210038A1

公开(公告)日：2018-07-26

申请号：US15413547

申请日：2017-01-24

Applicant: Southern Company

Inventor： Robert D. King ,  Joshua Ashcraft ,  Jamie R. Meaders ,  Tommy Jamison, Jr. ,  Ravikanth C. Paruchuri ,  Wesley M. Granade ,  Mitch A. Cason ,  Derl W. Rhoades ,  Brandon Lundy

IPC: G01R31/40 ,  G01R19/04

CPC classification number: G01R31/40 ,  G01R19/04 ,  G01R31/088 ,  G06Q50/06 ,  H02J13/00

Abstract: An exemplary embodiment of the present invention provides a method for determining root causes of issues in an electrical grid. The method includes receiving local data from each of a plurality of meters. The local data may be indicative of voltage levels measured by the plurality of meters. The method also includes identifying abnormalities in the received local data. An abnormality is indicated by local data indicative of a voltage level that is outside of a predetermined range of acceptable levels. The method further includes associating each of the identified abnormalities with a respective meter and a geographic location of the respective meter and analyzing each of the identified abnormalities according to a predetermined set of evaluation factors to determine a root cause.

公开(公告)号：US10345484B2

公开(公告)日：2019-07-09

申请号：US14842083

申请日：2015-09-01

Applicant: Southern Company Services, Inc.

Inventor： Brandon Lundy ,  Derl W. Rhoades

IPC: G01W1/10 ,  G01D4/00 ,  G01R21/133

Abstract: Disclosed are various embodiments for confirming a tornado event has contacted a ground surface and for generating a path prediction. Upon receipt of power outage alarms from metering devices, the Advance Metering Infrastructure (AMI) application can generate cluster areas based on the location of the metering devices. The AMI application can compare a cluster area to a tornado pattern to determine if the cluster area has experienced a tornado event. The AMI application can determine a speed and a direction of the tornado event based on the location and a time stamp of a power outage associated with the metering devices in the cluster areas.

公开(公告)号：US10180466B2

公开(公告)日：2019-01-15

申请号：US15413547

申请日：2017-01-24

Applicant: Southern Company

Inventor： Robert D. King ,  Joshua Ashcraft ,  Jamie R. Meaders ,  Tommy Jamison, Jr. ,  Ravikanth C. Paruchuri ,  Wesley M. Granade ,  Mitch A. Cason ,  Derl W. Rhoades ,  Brandon Lundy

IPC: G01R31/40 ,  G01R19/04

Abstract: An exemplary embodiment of the present invention provides a method for determining root causes of issues in an electrical grid. The method includes receiving local data from each of a plurality of meters. The local data may be indicative of voltage levels measured by the plurality of meters. The method also includes identifying abnormalities in the received local data. An abnormality is indicated by local data indicative of a voltage level that is outside of a predetermined range of acceptable levels. The method further includes associating each of the identified abnormalities with a respective meter and a geographic location of the respective meter and analyzing each of the identified abnormalities according to a predetermined set of evaluation factors to determine a root cause.